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Workflow & Process Intelligence

Operational Design

Optimizing organizational workflows, processes and human-technology interactions to improve efficiency and performance.

Overview

Process maps describe how work is supposed to move. We study how it actually moves — including the workarounds, the informal handoffs, the second system people maintain in a spreadsheet because the official one asks for something they cannot supply at that moment.

The gap between the documented process and the practised one is where efficiency is lost, and it is almost always cognitive in origin: a step that demands attention nobody has, a screen that hides the number the decision depends on, a handover that assumes context the receiving person was never given.

We redesign those points around what human attention can realistically sustain during a working shift — not around what an efficient process would look like if people were machines.

What's included

The engagement, component by component

01

Live Workflow Mapping

Observation and shadowing rather than interviews alone. What people say they do and what they do diverge in predictable, informative ways.

02

Friction & Rework Analysis

We locate where work waits, doubles back, or gets redone, and quantify what each instance costs in time, error rate and downstream delay.

03

Human–Technology Interaction Review

Where your systems create cognitive load instead of removing it: alert volume, screen switching, data entry that duplicates what the system already knows.

04

Handover & Continuity Design

Shift changes, escalations and departmental transfers are where context is lost and errors concentrate. We rebuild them to carry the reasoning, not only the status.

05

Process Redesign & Rollout

Redesigned flows, with adoption planned as carefully as the design — because a better process that nobody follows is not a better process.

Signals you need this

  • Efficiency programmes deliver on paper but not in the numbers, because they optimised the documented process rather than the practised one.
  • New systems add steps while promising to remove them, and staff quietly build parallel workarounds that reintroduce the original risk.
  • Errors cluster at predictable moments — end of shift, after interruption, during handover — which indicates a structural cause, not carelessness.
  • Nobody can say what a given inefficiency actually costs, so improvement work competes for budget with nothing but anecdote behind it.

What changes afterwards

  • A truthful map of how work moves, including the informal paths that formal maps omit.
  • Friction points ranked by measured cost, so effort goes where the return is.
  • Reduced rework and fewer avoidable delays at the handoffs that were driving them.
  • Systems and workflows people actually use as designed, because the design accounts for their real working conditions.
  • A measurement baseline that makes the next round of improvement evidence-led.
How we deliver

A four-phase engagement

PHASE 01

Discovery

We map how the work is done now — through interviews, shadowing and review of real cases rather than documentation alone.

PHASE 02

Diagnosis

We identify where cognitive load, miscalibrated trust or structural friction are degrading outcomes, and quantify the cost.

PHASE 03

Design

We design interventions sized to the problem — procedural, technological, structural or developmental.

PHASE 04

Deployment

We support rollout and measure what changed, so the engagement closes with evidence rather than recommendations.

Best suited to
Manufacturing & Industrial OperationsHealthcare & Clinical ServicesTechnology & Product Teams
Other services
/ 01Cognitive Strategy→/ 03Hybrid Intelligence→/ 04Task-Specific Performance Optimization→/ 05Innovative HR Practices→

Tell us about the decision you're trying to get right.

One conversation is usually enough to know whether this is the right engagement for your organisation.

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